The Fall Fast App deadline has been extended to August 17, 2026.
Online Master of Science in Data Analytics Engineering | Northeastern University
College of Engineering
Online Master of Science in
Data Analytics Engineering

The degree that turns raw data into your next move.

100% online, fully asynchronous, built for working professionals. The same Northeastern University College of Engineering credential. No commute, no prior tech background required.

From $23,124 with applicable scholarships~$24KTotal Tuition
100%Online · Async
U.S. News & World Report, 2026Top 40Engineering School
18–32 moDuration
3×/yrStart Dates
32 cr8 Courses
About the Program

Online MS in Data Analytics Engineering
from Northeastern University

The professionals who shape industries aren't always the ones who started in them. They're the ones who learned to turn raw data into decisions other people can act on. The Online Master of Science in Data Analytics Engineering (DAE) from Northeastern University's College of Engineering was built for exactly that kind of professional: someone with a career already in motion, ready to lead at the intersection of data and strategy.

The curriculum runs on Northeastern's commitment to experiential learning. Every course is built around real datasets and industry problems, taught by faculty who bring active practice into the classroom. You'll build fluency in Python, R, and SQL and depth in data visualization, database design, data mining, and predictive modeling. Not theory about what you'll eventually apply. Skills you can use at work on Wednesday that you learned on Tuesday. No prior tech background required. All academic majors welcome.

The Fast App pathway gets you from interested to enrolled in minutes. Because the obstacle to a graduate degree shouldn't be paperwork.

When you graduate, your diploma reads: Northeastern University, College of Engineering, Master of Science in Data Analytics Engineering. It won't say "online." You'll cross the same stage in Boston, earn the same credential, and carry the same institutional recognition as every Northeastern engineer before you.

Student Story
Tamara Bonheur pivoted from legal studies into data engineering while working full time.
Career changers & non-technical professionals
No STEM background required. The program was built for professionals from business, humanities, social sciences, and beyond — ready to step into roles where data drives the decisions.
Advancing professionals moving into leadership
Already working in data, engineering, or an adjacent field and ready to move from individual contributor to strategic leader. The credential that opens the next level.
Anyone earning a degree without pausing their career
100% online, fully asynchronous, pay-as-you-go. Built for professionals with full lives who need graduate education that works around them. Not the other way around.
International professionals (outside the US)
Earn a Northeastern University College of Engineering credential fully online, from anywhere in the world. Note: this program does not confer F-1 visa eligibility.
📱
Fully asynchronous
No set class times. No required commute. Engage on your schedule: mornings, evenings, weekends.
📅
3 start dates per year
Spring, Summer, Fall. Start when you're ready. View all upcoming deadlines →
10–15 hrs/week per course
Full-time students finish in as little as 18 months.
Pause anytime, no penalty
Pay-as-you-go tuition means you only pay when enrolled. Take a term off without losing progress.
🎓
Boston graduation ceremony
Same campus, same ceremony, same diploma as the on-ground program.
📅 Upcoming Deadlines
Fall 2026
App DeadlineAugust 3, 2026
Fast AppExtendedAugust 17, 2026
Standard AppClosed
Enroll ByAugust 31, 2026
Courses StartSeptember 9, 2026
View all upcoming deadlines →
Current Tuition
From $23,124*
With Scholarships
List price $24,600 ($3,075/course × 8 courses). *Scholarships are applied automatically based on your admission path. See details →

Charged per course at enrollment. Take a term off without penalty. Full details and scholarship information at Tuition & payment details →.

Federal Financial Aid

Federal financial aid is available for Standard App students from day one, and for Fast App students after completing their two pathway courses. If federal aid is a priority from the start, the Standard App is the right path.

Employer Reimbursement

The pay-as-you-go structure makes it easy to align with most employer reimbursement cycles. Employer reimbursement toolkit →

Online learning at Northeastern isn't solitary. You'll join an active cohort of working professionals from across industries and time zones. People who bring real-world problems into every discussion and make the learning sharper as a result.

Every Northeastern Online student has access to the same career resources as on-campus students: the Northeastern Career Center, employer connections, job boards, and recruiting events. The Northeastern name opens the same doors, regardless of how you earned it.

Beyond career services, you have access to any Northeastern campus for studying, meetings, or events. Across the US. From Boston to Oakland, Miami to Silicon Valley. And a dedicated online success team is with you for the full length of your program, making sure you always know your next step.

What you get access to
Active student cohort
Working professionals across industries. Your classmates bring the real world into every course.
Northeastern Career Center
Full access to career coaching, employer connections, job boards, and recruiting events.
Access to any Northeastern campus
Study, meet, or attend events at campuses across the US. From Boston to Oakland, Miami to Silicon Valley.
Dedicated online success team
One person assigned to you for the full length of your program. Always knowing your goals and next step.
Global alumni network
Connect with Northeastern graduates across every industry. A network built over decades that you carry after graduation.
Degree conferredMaster of Science in Data Analytics Engineering
CollegeCollege of Engineering
Total tuition$24,600*
Per course$3,075
Credits required32 credits (8 courses)
Duration18–32 months
Weekly time10–15 hrs/course
Delivery100% online, asynchronous
Start datesSpring, Summer, Fall
Prior tech requiredNo
F-1 visa eligibleNo

*From $23,124 / $723 per credit with automatically applied scholarships, depending on admissions pathway. Pay-as-you-go, charged per course at enrollment — take a term off without penalty. Full details and scholarship information at Tuition & payment details →.

Submit Fast App → Standard Application
Same diploma as the on-ground program.

Your diploma reads: Northeastern University, College of Engineering, Master of Science in Data Analytics Engineering. No reference to online.

Career Outcomes

Where DAE graduates go next.

Data isn't a department anymore — it's the layer every serious organization runs on. The professionals who can turn raw data into decisions are the ones companies compete for. Data Analytics Engineering graduates move into roles at exactly that intersection: Data Scientist, Data Engineer, Database Architect, Business Intelligence Analyst, Predictive Modeling Analyst, and Data Integration Engineer. The employers hiring for them range from IBM, Microsoft, Amazon, and Oracle to financial institutions, healthcare systems, and manufacturers building out the data infrastructure their industries now depend on.

$112,590
Data Scientist median salary
BLS, May 2024
34%
Data Scientist job growth
BLS Outlook, 2024–2034
317K+
Annual IT job openings (US)
BLS, 2024
$135,980
Database Architect median
BLS, May 2024

Salary figures represent national median wages across all experience levels. Source: U.S. Bureau of Labor Statistics, May 2024. Figures do not reflect expected starting salaries.

What You'll Be Able to Do

Skills Employers Are Hiring For
Right Now.

IBM, Microsoft, Amazon, and Oracle hire data analytics engineering graduates for exactly the skills this program builds — from database design and data mining to predictive modeling and data visualization in Python, R, and SQL.

SQL & Database Design

Model, normalize, and query relational databases. Build the data foundations that analytics and applications depend on.

Data Visualization & Storytelling

Turn analysis into decisions. Build clear, interactive visualizations in Python, R, and Tableau that move stakeholders to act.

Predictive Modeling & Machine Learning

Apply statistical and ML methods to forecast outcomes, classify data, and build models that scale to real-world problems.

Data Mining & Wrangling

Clean, transform, and explore messy data at scale — uncovering the patterns and relationships that drive insight.

Programming in Python & R

Write production-quality code for data processing, analysis, and automation in the two languages the field runs on.

Statistical Analysis & Methods

Ground decisions in rigor — probability, inference, and experimental design that hold up under scrutiny.

Faculty

Faculty Who Work in the
Industry They Teach.

Faculty Spotlight
Dr. Ramin Mohammadi
Dr. Ramin Mohammadi
Adjunct Faculty · Northeastern University College of Engineering · Founder, machinelearninginengineering.com

"My research centers on the practical use of ML and NLP — with an emphasis on real-world applications in healthcare and the essential area of healthcare cybersecurity."

Ph.D., Industrial Engineering. Northeastern University. Recipient of the 2020 Akira Yamamura Excellence in Research Award from Mechanical and Industrial Engineering.
Research focus on Machine Learning, NLP, Generative AI, and MLOps — with applied work on healthcare AI and language technologies that protect Personal Health Information.
Won first place in the Harvard Ideation Challenge for a tumor-response forecasting model in breast cancer, and named a top-six finalist in the Boston Scientific / Google Connected Patient Challenge.
View faculty profile → Publications →
The classroom moved online. The standard came with it.

The Online DAE is taught by Northeastern University College of Engineering faculty — the same researchers and practitioners who teach the on-ground program. Your instructors aren't observing their fields. They're working in them.

Curriculum

Online DAE Curriculum:
11 Courses, You Take Eight.

The DAE is 32 credits — eight courses. You'll complete all five core courses (20 credits) and choose three electives from the six available (12 credits). If you enroll through the Fast App, you'll begin with the two pathway courses marked below — and every credit counts toward your degree from day one.

DADS 6400
Foundations for Data Analytics EngineeringFast App Pathway
Builds the foundation for advanced DAE coursework — probability, eigenvalues and eigenvectors, cluster analysis, text mining, and time series analysis — plus working with modern data structures and computational methods for data cleaning and wrangling.
Core · 4 credits
DADS 6600
Computation & Visualization for AnalyticsFast App Pathway
Visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision-making. Covers the basics of Python and R for data mining and visualization, and both static and interactive charts — color encoding, shape, layout, and annotation — across engineering, healthcare, and manufacturing contexts.
Core · 4 credits
DADS 6700
Data Management for AnalyticsCore
The theory and applications of database management for analytics, data mining, machine learning, and AI. Covers relational and NoSQL databases, data integration, data quality and governance, big data, data warehousing, and data processing for analytics.
Core · 4 credits
DADS 7275
Data Mining in EngineeringCore
The theory and applications of data mining in engineering — key techniques and algorithms for data preprocessing, association-rule extraction, classification, prediction, clustering, and complex data exploration, applied across manufacturing, healthcare, business, and service sectors.
Core · 4 credits
IE 7615
Deep Learning for AICore
The theory and applications of neural networks and deep learning in engineering. Covers key architectures — feedforward and deep learning networks, radial basis function networks, support vector machines, self-organizing feature maps, and recurrent networks — along with training methods and algorithms, applied across manufacturing, healthcare, medicine, and business.
Core · 4 credits
OR 6205
Deterministic Operations ResearchElective
The theory, computation, and application of deterministic models for industrial operations — linear programming and the simplex family of algorithms, duality and sensitivity analysis, transportation and network-flow problems, and dynamic programming. Requires knowledge of linear algebra.
Elective · 4 credits
IE 7300
Statistical Learning for EngineeringElective
Statistical models and methods for data analytics — statistical inference and learning theory, ordinary least squares and regularization, generalized linear models, nonlinear and nonparametric models, and Bayesian classification, applied in manufacturing, healthcare, and business. Prerequisite: IE 6400.
Elective · 4 credits
IE 7500
Applied Natural Language Processing in EngineeringElective
Fundamentals of natural language processing and its applications in engineering — core NLP concepts and algorithms, with applications across transportation, civil engineering, manufacturing, healthcare, business, and commerce. Includes a substantial project applying NLP to practical problems.
Elective · 4 credits
IE 6750
Data Warehousing & IntegrationElective
Data engineering for decision-support systems and analytics — data-warehouse architecture, dimensional modeling, ETL integration from source systems, OLAP, and the evolving world of data quality and governance. Design, build, and maintain cloud-based data pipelines on both on-premises and cloud platforms. Prerequisite: IE 6700.
Elective · 4 credits
IE 7374
Special Topics: Generative AIElective
Theoretical foundations and advanced concepts of neural networks, generative models, transformers, and large language models — how these systems create new data, process information, and learn through feedback, with emphasis on model building, optimization, and real-world generative AI use cases.
Elective · 4 credits
DADS 5250
Generative AI in PracticeElective
Practical foundations of generative AI — large language models, prompt engineering, retrieval-augmented generation, fine-tuning, and evaluation. Focuses on applying generative AI to real-world engineering and business problems with an emphasis on responsible deployment.
Elective · 4 credits
You'll take all five core courses (20 credits) and choose three electives (12 credits) from the six available — 32 credits total. Additional electives may be available across Northeastern's colleges — your success manager can help you plan. Fast App students begin with DADS 6400 and DADS 6600, the two pathway courses.
In The Classroom

Step inside a Data Analytics
Engineering course.

Preview the program by learning something new. These are real lesson excerpts from the Data Analytics Engineering curriculum — the kind of applied, practitioner-led teaching you'll experience every week. Every course is built the same way: faculty with active industry practice, content that connects directly to the work you're already doing.

Course Lesson · Data Analytics Engineering
Database Management Systems Explained
Professor Xuemin Jin traces the shift from file-based data storage to modern database management systems — and why decoupling data from applications (no duplication, consistent records, safe concurrent access) is the foundation every data analytics engineer builds on.
Course Lesson · Data Analytics Engineering
How to Choose the Right Dataset for Data Analytics
A practical guide to picking a dataset that holds up: matching its time period to your goal, weighing size against the "curse of dimensionality," judging data quality, and finding reliable sources — from open repositories to web scraping and your own collection.
Student Voices

Hear from Northeastern Online students.

These voices are drawn from across Northeastern Online's program portfolio. The flexibility, faculty connection, and applied focus they describe are central to every program in it — Data Analytics Engineering included.

Across Northeastern Online
Students share their experience.

What the coursework is like, how the flexibility actually works in practice, and what they'd tell anyone considering a Northeastern Online program.

Rosalina Torres, MSDAE student and Graduate Student Ambassador, in the Yucatán where she is completing her degree
DAE Student Spotlight
My Mid-Career Change to Data Analytics Engineering.

After 15 years in enterprise sales at Oracle and Collibra, Rosalina Torres pivoted into data analytics engineering — and moved to the Yucatán to make the online degree work on her terms. Read how she found a curriculum that translated her business experience into something she could actually build.

Read Rosalina's story →
Why Northeastern Online

Why Northeastern Online DAE?
Here's What Makes It Different.

01Same diploma
02Pay as you go
03Performance-based admissions
04Enrolled in minutes
05Dedicated online support
06Boston graduation
07Free badge courses
08Stack Track
09Employer reimbursement
10Built for online
Same diploma as the on-ground program.
Your Northeastern University diploma reads exactly the same as the on-ground version of your program. There is nothing on it that references online, distance, or digital delivery. The same credential, recognized by the same employers. Because it is the same degree.
Admissions

Apply to the Online DAE:
Two Paths In.

Both paths lead to the same Northeastern University degree. Choose based on your background and what matters most to you.

Standard Application
Full credentials reviewed upfront.
Full admission before you begin.

The Fall 2026 Standard Application deadline has passed. See upcoming terms →

Who it's for
STEM or technical background. This path typically expects prior technical experience
Need federal financial aid from day one
International applicants. Credentials evaluated before any tuition is paid
Want a full admissions decision before committing to coursework
What's required
·Transcripts from all prior institutions
·2 letters of recommendation
·Statement of purpose
·Current resume
·$100 application fee
Standard Application →
Want to prepare first?
Get a head start with these prep courses · On Coursera

There are no prerequisites for the Fast App pathway, but a little prep helps. College of Engineering faculty hand-picked these Coursera courses to build your Python, linear algebra, and probability fundamentals before the pathway courses begin — a low-cost way to fill any gaps before you start.

FAQ

Online DAE Frequently Asked
Questions. Answered.

A bachelor's degree in any field from an accredited or approved university. That's it. The Online DAE was designed for learners from any academic or professional background — no STEM prerequisites and no prior tech experience required. The Fast App pathway lets you demonstrate readiness directly through coursework.

Yes. Your diploma will read "Northeastern University, College of Engineering, Master of Science in Data Analytics Engineering." It will not reference "online" or "Coursera." Same faculty, same 32 credits, same Boston graduation ceremony, same employer recognition.

No. All learners are welcome to attempt the performance-based pathway courses, whether or not they have a technical background. If you'd like to brush up first, College of Engineering faculty have hand-picked a few optional prep courses on Coursera covering Python, linear algebra, and probability — see them in the Admissions section above.

The Online DAE is taught by the same College of Engineering faculty who teach on campus — researchers and practitioners with active experience in data analytics, engineering systems, and applied research. The classroom moved online. The standard came with it.

Approximately 10–15 hours per week per course. The program is 8 courses (32 credits) total. Full-time students can finish in as little as 18 months; part-time students typically take longer and can pause between terms without penalty.

List price is $24,600 ($3,075/course × 8), shown as from $23,124 with scholarship applied. Tuition is pay-as-you-go — charged per course at enrollment. Full details at Tuition & payment details →.

Federal financial aid is available for Standard App students from day one, and for Fast App students after completing their two pathway courses. Northeastern alumni may also qualify to save up to 25% through the Double Husky Scholarship.

Submit a short form. Enroll in two performance-based pathway courses (both count toward your degree). Earn a B or better in both and submit your official undergraduate transcripts by the time you complete them. That's your admission — no essays, no GRE, no application fee. You'll continue into the full degree program the next term, with those credits already done.

Yes, completely. The two Fast App pathway courses are actual DAE program courses. Once you complete both with a B or better and pay the necessary fees, those credits apply directly to your degree.

Yes. You can gain direct admission by applying through the standard graduate application at the College of Engineering. The Standard App is the right path if you need federal financial aid from day one or want your credentials evaluated before you begin. There is a $100 application fee for the standard application (the Fast App has none).

No. The online program does not confer F-1 visa eligibility. If you need an F-1-eligible option, the on-campus DAE program through the College of Engineering is the right fit.

Take the First Step

Ready to learn more —
or ready to enroll?

Fill out the form and we'll send you the free Data Analytics Engineering Career Outlook Guide instantly. Salary data, top employers, and role breakdowns.

Ready to enroll? Turn this form into your Fast App.
The same form starts your Fast App. No GRE, no essays, no fee. Select Yes at the end of this form to answer a few more questions and turn your submission into a Fast App. Go from interested to enrolled in minutes.
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